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Shigehiro Karashima

Showing results (71-80 of 86) with videos related to

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Frontiers in Cellular and Infection Microbiology|September 19, 2022
Impact of gut microbiome on dyslipidemia in japanese adults: Assessment of the Shika-machi super preventive health examination results for causal inferenceYuna Miyajima, Shigehiro Karashima, Kazuhiro Ogai, et al.
Frontiers in Cellular and Infection Microbiology|November 1, 2023
Impact of gut microbiome on serum IgG4 levels in the general population: Shika-machi super preventive health examination resultsAoi Koshida, Shigehiro Karashima, Kohei Ogura, et al.
Endocrine|September 23, 2025
Development and validation of Age-Specific algorithms for diabetes predictionShigehiro Karashima, Haruka Nishida, Yu Ishikawa, et al.
Scientific Reports|September 13, 2017
Cortisol overproduction results from DNA methylation of CYP11B1 in hypercortisolemiaMitsuhiro Kometani, Takashi Yoneda, Masashi Demura, et al.
Clinical and Experimental Hypertension (New York, N.Y. : 1993)|July 21, 2017
Prevalence of primary aldosteronism without hypertension in the general population: Results in Shika studyShigehiro Karashima, Mitsuhiro Kometani, Hiromasa Tsujiguchi, et al.
Hypertension (Dallas, Tex. : 1979)|November 6, 2013
Dynamic CCAAT/enhancer binding protein-associated changes of DNA methylation in the angiotensinogen geneFen Wang, Masashi Demura, Yuan Cheng, et al.
Scientific Reports|December 16, 2023
A clinical assessment of portable point-of-care testing for quick cortisol assay during adrenal vein samplingKo Aiga, Mitsuhiro Kometani, Shigehiro Karashima, et al.
Frontiers in Medicine|September 28, 2020
Impact of Gut Microbiome on Hypertensive Patients With Low-Salt Intake: Shika Study ResultsSatoshi Nagase, Shigehiro Karashima, Hiromasa Tsujiguchi, et al.
Scientific Reports|April 30, 2024
Prediction and causal inference of hyperuricemia using gut microbiotaYuna Miyajima, Shigehiro Karashima, Ren Mizoguchi, et al.
Journal of Medical Systems|March 8, 2024
3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients  with Multiple Myeloma using Whole-body MRIKento Morita, Shigehiro Karashima, Toshiki Terao, et al.
Pageof 9

Showing results (71-80 of 86) with videos related to

Sort By:
Pageof 9
Frontiers in Cellular and Infection Microbiology|September 19, 2022
Impact of gut microbiome on dyslipidemia in japanese adults: Assessment of the Shika-machi super preventive health examination results for causal inferenceYuna Miyajima, Shigehiro Karashima, Kazuhiro Ogai, et al.
Frontiers in Cellular and Infection Microbiology|November 1, 2023
Impact of gut microbiome on serum IgG4 levels in the general population: Shika-machi super preventive health examination resultsAoi Koshida, Shigehiro Karashima, Kohei Ogura, et al.
Endocrine|September 23, 2025
Development and validation of Age-Specific algorithms for diabetes predictionShigehiro Karashima, Haruka Nishida, Yu Ishikawa, et al.
Scientific Reports|September 13, 2017
Cortisol overproduction results from DNA methylation of CYP11B1 in hypercortisolemiaMitsuhiro Kometani, Takashi Yoneda, Masashi Demura, et al.
Clinical and Experimental Hypertension (New York, N.Y. : 1993)|July 21, 2017
Prevalence of primary aldosteronism without hypertension in the general population: Results in Shika studyShigehiro Karashima, Mitsuhiro Kometani, Hiromasa Tsujiguchi, et al.
Hypertension (Dallas, Tex. : 1979)|November 6, 2013
Dynamic CCAAT/enhancer binding protein-associated changes of DNA methylation in the angiotensinogen geneFen Wang, Masashi Demura, Yuan Cheng, et al.
Scientific Reports|December 16, 2023
A clinical assessment of portable point-of-care testing for quick cortisol assay during adrenal vein samplingKo Aiga, Mitsuhiro Kometani, Shigehiro Karashima, et al.
Frontiers in Medicine|September 28, 2020
Impact of Gut Microbiome on Hypertensive Patients With Low-Salt Intake: Shika Study ResultsSatoshi Nagase, Shigehiro Karashima, Hiromasa Tsujiguchi, et al.
Scientific Reports|April 30, 2024
Prediction and causal inference of hyperuricemia using gut microbiotaYuna Miyajima, Shigehiro Karashima, Ren Mizoguchi, et al.
Journal of Medical Systems|March 8, 2024
3D CNN-based Deep Learning Model-based Explanatory Prognostication in Patients  with Multiple Myeloma using Whole-body MRIKento Morita, Shigehiro Karashima, Toshiki Terao, et al.
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